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In recent years, random caches have been proposed as a way to simplify the timing analysis of real-time systems. However, technology-scaling makes caches prone to faults. Fault detection mechanisms can detect permanent faults but they affect the timing analysis of a random cache. This paper introduces a Static Probabilistic Timing Analysis (SPTA) technique that accounts for a permanent fault detection...
Accurate timing prediction for software execution is becoming a problem due to the increasing complexity of computer architecture, and the presence of mixed-criticality workloads. Probabilistic caches were proposed to set bounds to Worst Case Execution Time (WCET) estimates and help designers improve system resource usage. However, as technology scales down, system fault rates increase and timing...
The scheduling in LTE downlink channel is a key problem currently. The goal of many existing LTE scheduler is achieving the system highest performance, but the system fairness and delay of partial real-time service under limited bandwidth resources are not enough to be ensured sometimes. Therefore we design a multi-factor scheduling algorithm for the mixed business scenarios. Different from other...
Predicting the timing behaviour of modern computer architectures can be extremely difficult. Probabilistic Timing Analysis (PTA) is a recent technique to compute the execution time of a program within a given confidence interval, but requires specially designed hardware with certain properties. This work addresses the implementation of a probabilistically analyzable L1 instruction and data cache for...
A real-time vehicle motion planning engine is presented in this paper, with the focus on exploiting the prior and online traffic knowledge, e.g., predefined roadmap, prior environment information, behaviour-based motion primitives, within the space exploration guided heuristic search (SEHS) framework. The SEHS algorithm plans a kinodynamic vehicle motion in two steps: a geometric investigation of...
A mixed reliability evaluation and prediction method which is particularly suitable for the machining center was proposed in this study, considering the poor adaptability of the current reliability evaluation and prediction method. Using fault occurrence time as modeling parameter and based on the empirical modeling technique, this method evaluates the realtime reliability of the machining center...
Cardiovascular disease (CVD), principally heart disease and stroke, has become the worldwide leading killer for people of all racial and ethnic groups. In China, this disease contributes 41% to all deaths each year, and it costs the country more than 400 billion US dollars in last decade, including health expenditures and lost productivity, which continues to grow as the population size increases...
GPS enabled taxis provide us not only their locations and passenger status information in real-time, but also historical digital traces which could enable innovative services such as smart taxi dispatching, anomalous taxi detection, urban hotspots discovery, bus planning, and so on. Even though researchers have developed algorithms and systems in previous work targeting specific applications, there...
Real-time map module is the core module of three-dimensional scene roaming application and often consumes an enormous amount of time and manpower. By summarizing the module features, based on configurable pattern, mask layer recognition and adaptive path finding, this paper presents a customized realtime map framework which can set graphical mark, designate hot spots and generate optimal route without...
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